1 citations · 1 across the 3 of their papers we have counts for
8 papers
Functional Network: A Novel Framework for Interpretability of Deep Neural Networks
Ben Zhang, Zhetong Dong, Junsong Zhang +1
The layered structure of deep neural networks hinders the use of numerous analysis tools and thus the development of its interpretability. Inspired by the success of functional bra…
Stochastic Geometric Iterative Method for Loop Subdivision Surface Fitting
Chenkai Xu, Yaqi He, Hui Hu +1
In this paper, we propose a stochastic geometric iterative method to approximate the high-resolution 3D models by finite Loop subdivision surfaces. Given an input mesh as the fitti…
Manifold Feature Index: A novel index based on high-dimensional data simplification
Chenkai Xu, Hongwei Lin, Xuansu Fang
In this paper, we propose a novel stock index model, namely the manifold feature(MF) index, to reflect the overall price activity of the entire stock market. Based on the theory of…
High-Dimensional Data Set Simplification by Laplace-Beltrami Operator
Chenkai Xu, Hongwei Lin
With the development of the Internet and other digital technologies, the speed of data generation has become considerably faster than the speed of data processing. Because big data…
Implicit Progressive-Iterative Approximation for Curve and Surface Reconstruction
Yusuf Fatihu Hamza, Hongwei Lin, Zihao Li
Implicit curve and surface reconstruction attracts the attention of many researchers and gains a wide range of applications, due to its ability to describe objects with complicated…
Heterogeneous porous scaffold generation in trivariate B-spline solid with triply periodic minimal surface in the parametric domain
Chuanfeng Hu, Hongwei Lin
A porous scaffold is a three-dimensional network structure composed of a large number of pores, and triply periodic minimal surfaces (TPMSs) are one of conventional tools for desig…